About The Role The VP, Data and AI Foundations is an enterprise executive leadership role accountable for defining, governing, and executing SE Health's end-to-end data and AI ecosystem. This role owns the strategy, architecture, engineering, analytics, governance, and business integration of data and artificial intelligence assets across the organization.

About The Role The VP, Data and AI Foundations is an enterprise executive leadership role accountable for defining, governing, and executing SE Health's end-to-end data and AI ecosystem. This role owns the strategy, architecture, engineering, analytics, governance, and business integration of data and artificial intelligence assets across the organization.

This position provides executive oversight for enterprise data strategies, advanced analytics, machine learning/Generative AI capabilities, data architecture, information governance, business intelligence, and responsible AI ethics frameworks. The VP partners with senior executives, clinical operations, technology leadership, legal/privacy teams, and external strategic partners to transform raw enterprise data into actionable intelligence, predictive insights, automated workflows, and measurable business and clinical outcomes.

Enterprise Impact and Scope

Sets enterprise direction for data management, business intelligence, predictive/prescriptive analytics, and enterprise AI adoption strategies.

Accountable for establishing data quality, metadata management, data architecture integration, and AI ethical guardrails in alignment with organizational risk posture and regulatory standards.

Provides executive leadership for the design, scaling, and monetization/operationalization of machine learning models, Generative AI applications,



and algorithmic automation.

Builds executive alignment, algorithmic trust, and scalable data-driven operating models that empower enterprise clinical, financial, and operational decision-making.

What You'll Do Enterprise Data & AI Strategy, Investment & Governance

Enterprise Direction: Sets the enterprise vision, strategic priorities, operating model and multi-year roadmap for data and AI, aligned with SE Health’s organizational strategy, care transformation and growth objectives.

Investment Stewardship: Establishes portfolio priorities and provides executive oversight of operating and capital investments, business cases, funding recommendations and benefits realization across the data and AI portfolio.

Enterprise Standards: Establishes and approves enterprise standards for data architecture, quality, stewardship, interoperability, access, platforms and responsible AI, ensuring alignment with security, privacy, legal, clinical and regulatory requirements.

Decision Authority: Chairs or sponsors enterprise governance forums; resolves cross-enterprise priorities and trade-offs; and recommends whether initiatives should proceed, change course or stop based on strategic fit, risk, readiness and expected value.

Business Transformation, AI Adoption & Value Realization

Transformation Portfolio:



Partners with executive and business leaders to identify and prioritize enterprise opportunities where data and AI can transform care delivery, client and employee experience, workforce capacity, productivity, quality, growth and financial performance.

Product and Delivery Accountability: Provides executive oversight for the end-to-end portfolio of analytics, automation and AI products, ensuring disciplined progression from discovery and experimentation through deployment, adoption, scaling and ongoing optimization.

Business Adoption: Establishes shared accountability with business owners for workflow redesign, change readiness, adoption and sustained use of data and AI capabilities across clinical and corporate functions.

Perks Realization: Defines enterprise performance measures and holds the portfolio accountable for measurable clinical, operational, financial and strategic outcomes, including quality, safety, productivity, user adoption and return on investment.

Enterprise Risk, Privacy & Responsible AI

Risk Framework: Establishes the enterprise data and AI risk framework in partnership with Privacy, Legal & Compliance, Security, Clinical, Technology and other control functions, aligned with organizational risk appetite and regulatory obligations.

Responsible AI: Sets guardrails for ethical, transparent, explainable and equitable use of data and AI, including human oversight, bias monitoring, model validation, third-party risk and appropriate use of sensitive health information.

Executive Assurance: Provides executive visibility into material data and AI risks, control effectiveness, regulatory developments and emerging exposures, with clear recommendations and escalation pathways.

Ongoing Overs

📌 Vice President, Data and AI Foundations (Winnipeg)
🏢 SE Health
📍 Winnipeg